2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)最新文献_第6页

Dynamic Information Retrieval With Chatbots: A Review of Artificial Intelligence Methodology 基于聊天机器人的动态信息检索:人工智能方法综述

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297533

V. Dutt, Satya Murthy Sasubilli, Anand Eswararao Yerrapati

{"title":"Dynamic Information Retrieval With Chatbots: A Review of Artificial Intelligence Methodology","authors":"V. Dutt, Satya Murthy Sasubilli, Anand Eswararao Yerrapati","doi":"10.1109/ICECA49313.2020.9297533","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297533","url":null,"abstract":"A chatbot is a computer program designed to simulate a conversation with human users, especially over the Internet. Ultimately, the chatbot acts like a virtual assistant or interactive agent in a conversations interface to respond to user queries or messages via communication channel like mobile apps, messenger apps or browser-based applications. Chatbots have become more popular nowadays and most of the companies are implementing them wherever they can to reduce the operation cost. In many cases, human resources are utilized to respond to user queries, where the chatbot can do the same job by searching the data in the system so that the human talent can be used for other advanced tasks. As the advancement in the technology, chatbots are also evaluated in a better way such that they can do some other tasks beyond just answering the textual questions. This paper provides a chatbot based solution for users or candidates, who are searching for a job to apply in a company. This solution makes the job searching and applying process easy, where the user can apply for a job in a few taps without visiting the company website or their mobile app.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115847352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Machine Learning based Image Classification of Papaya Disease Recognition 基于机器学习的木瓜病害识别图像分类

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297570

M. Islam, Md. Shahriar Islam, M. Hossen, Minhaz Uddin Emon, Maria Sultana Keya, Ahsan Habib

{"title":"Machine Learning based Image Classification of Papaya Disease Recognition","authors":"M. Islam, Md. Shahriar Islam, M. Hossen, Minhaz Uddin Emon, Maria Sultana Keya, Ahsan Habib","doi":"10.1109/ICECA49313.2020.9297570","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297570","url":null,"abstract":"To help farmers and rural people of Bangladesh, many research works are proposed in the recent years to recognize the papaya diseases that takes a great deal of advantage in machine learning fields. This research is mainly required to support agriculture to make it highly effective and helpful particularly for papaya cultivation. The primary objective of this paper is to compare some algorithms for papaya disease recognition and identify the ailment by capturing image and classify them based on their diseases with an intelligent system. To overcome this advantage, the recognition of papaya diseases will mainly involve two challenges and those are detecting the disease and classifying the diseases based on their symptoms. The proposed system is presenting an online machine learning based papaya disease in which a person captures an image via mobile app and sends it to the system for disease detection and also compare some algorithms accuracy those are random forest, k-means clustering, SVC and CNN. The system process the images and will give feedback. This intelligent system can easily detect the diseases with a high accuracy of about 98.4% to predict the papaya diseases.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132127888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 25

MCU system based on IEC61508 for Autonomous Functional safety platform 基于IEC61508的自主功能安全平台单片机系统

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297575

V. Rawat, Vrinda Gupta, D. S. Tomar

引用次数: 1

Analysing Computational Complexity For Prediction Function In Health Record Dataset 健康记录数据集预测函数的计算复杂度分析

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297598

S. Sahunthala, A. Geetha, L. Parthiban

引用次数: 2

Design and Dynamic Modelling of Quadrotor VTOL aircraft 四旋翼垂直起降飞行器设计与动力学建模

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297379

Purna Patel, J. Dave

引用次数: 3

Analysis and Comparison for The Profit Model of Energy Storage Power Station 储能电站盈利模式的分析与比较

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297527

Xuyang Zhang, Fengming Zhang, Chao Chen, Yingtao Sun, Q. Ai, Minyu Chen

引用次数: 1

Hybrid IG and GA based Feature Selection Approach for Text Categorization 基于混合IG和GA的文本分类特征选择方法

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297468

Manda Thejaswee, P. Srilakshmi, G. Karuna, K. Anuradha

{"title":"Hybrid IG and GA based Feature Selection Approach for Text Categorization","authors":"Manda Thejaswee, P. Srilakshmi, G. Karuna, K. Anuradha","doi":"10.1109/ICECA49313.2020.9297468","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297468","url":null,"abstract":"Feature selection is considered as the most important research area due to its accuracy and time considerations in the field of text classification. If the initial feature set is large, it becomes very important to select the necessary features. Text classification remains as one of the examples that one can see when hundreds or even thousands of records can be included in the size of the feature set. Many research studies are carried out on feature selection by proposing different feature selection approaches for text classification. Although several numbers of studies are done on feature selection, but there is no substantial work to prove the combination of features. The aim of the analysis is to evaluate the redundancy of textual properties selected using a different method such as data set features, algorithms, metrics, a hybrid feature selection method. The test results show that the combination of characteristics chosen by different methods is precise over those selected by each selection process. In any case, the proposed selection of hybrid features depends on the data set characteristics, classification algorithm selection and assessment metrics.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115471033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Impact of NEMS Technology over the growth of IoT -A Analysis study NEMS技术对物联网增长的影响分析研究

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297582

Kanagaraj Venusamy, M. Tamilselvi

{"title":"Impact of NEMS Technology over the growth of IoT -A Analysis study","authors":"Kanagaraj Venusamy, M. Tamilselvi","doi":"10.1109/ICECA49313.2020.9297582","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297582","url":null,"abstract":"The semiconductor enterprise will continue to be a critical motive force inside the international prevalent financial system as society turns into an increasing number of relaxation on cell gadgets, the Internet of Things (IoT) emerges, enormous quantities of statistics produced need to be stored and analyzed, and excessive overall performance computing develops to care vital interests in Science, Medicine, Engineering, Technology and Industry. The miniaturized Nano gadgets are the most important element inside the modernized automation which can be speaking with themselves to present answers in a better manner for the technical issues. Thissort of introduced characteristic makes it to create novelty over various fields using downscaling their dimensions near or underneath 1 $mu$ m. The software segmentation for the NEMS marketplace is broadly divided into three groups; Design, Measurement system and solid-state electronics. Each of the packages is divided into level two packages such as microscopy, automotive, clinical, sensors, and memories. Our analysis mainly focuses on the overall performance and functionalities of the NEMS era utilized in the Internet of Things.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116108247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

IoT based Indoor Air Quality Monitoring system using Raspberry Pi4 基于物联网的室内空气质量监测系统使用树莓Pi4

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297442

Syed Faiazuddin, M. Lakshmaiah, K. Alam, M. Ravikiran

{"title":"IoT based Indoor Air Quality Monitoring system using Raspberry Pi4","authors":"Syed Faiazuddin, M. Lakshmaiah, K. Alam, M. Ravikiran","doi":"10.1109/ICECA49313.2020.9297442","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297442","url":null,"abstract":"Poor quality is a major concern in urbanized areas. With more than 85% of people exposed to high levels of a particular matter. According to the World Health Organization, people are more cautious to look up the quality of air, their health by focusing on the spaces where they spend most of their time at home, school etc., and in their car. In this concept, a system with low power and data consumption is introduced. In this article, the air quality using a Raspberry Pi4 with Grove - Air Quality Sensor v1.3, CCS811 CO2 Air Quality Sensor, DHT 11 Temperature and Humidity Sensor were discussed. The communication between the sensor and Raspberry Pi4 will be through a serial port communication protocol and the code is implemented on the Python interface. Air pollution is a global environmental health problem many people’s are dying every year due to some of the visible and invisible parameters like small particles, gases and so on. Most of the parameters of the environment to be monitored such as volume of CO, CO2, Temp, Humidity, Gas Leakage, Smoke, temperature sensor, and etc. These parameters information can received by Rasp Pi4, Arduino Uno and process the information and transmitted to clouds where they are being continuously monitored and information will be stored in the cloud database.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116703122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Safe Prediction of Diabetes Mellitus Using Weighted Conglomeration of Mining Schemes 利用采矿方案加权集合安全预测糖尿病

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2020-11-05 DOI: 10.1109/ICECA49313.2020.9297390

Shiva Shankar Reddy, Nilambar Sethi, R. Rajender

{"title":"Safe Prediction of Diabetes Mellitus Using Weighted Conglomeration of Mining Schemes","authors":"Shiva Shankar Reddy, Nilambar Sethi, R. Rajender","doi":"10.1109/ICECA49313.2020.9297390","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297390","url":null,"abstract":"Diabetes mellitus (DM) is a chronic disease, from which most people are suffering in the present day. In this work, an attempt has been made to propose an ensemble of numerous techniques for the diagnosis and analysis of diabetic Mellitus data. The prime focus has been given to a safe prediction. One of the reasons for focusing on this ailment is due to its increasing rate of co-existence and occurrence over the world. This ailment is causing approximately one and a half million casualties every year. This work is meant to mitigate the challenge of early prediction of DM. For this, four different data mining techniques have been utilized namely lazy K-star, multi-layer perceptron (MLP), logistic regression and random forest. Using these four techniques a conglomerate algorithm was proposed which gives the final predicted label. If a patient test data is assigned a positive DM label by more than three classifiers then only it is assigned with the final label as positive DM, otherwise, it is treated as a negative. Satisfactory results in terms of the overall rate of accuracy have been obtained through this ensemble approach. Here, accuracy refers to the correct classification and prediction of DM through the proposed scheme. The proposed algorithm obtained an overall accuracy of 98.25%.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123875076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5